SageOx

The hivemind for agentic engineering

Cookbooks

SageOx + Loom

You already record Loom walkthroughs. This cookbook turns them from ephemeral Slack links into structured knowledge your AI coworkers can reference during coding sessions.

What you need

  • SageOx CLI installed (ox)
  • A connected repo (ox init)
  • Loom recordings you want to preserve

The workflow

1. Import a Loom recording

Grab the share URL from any Loom video and pass it to ox import. The CLI initiates the import, then SageOx processes the recording (transcription, keyframes, annotations) and commits everything to your Team Context.

terminal
$
Import started
ID: rec_01234567890
Status: pending

Processing takes 1–3 minutes depending on length. You don't need to wait — keep working and the results land in your Team Context automatically.

2. See what SageOx extracts

Once processing completes, your recording becomes a structured artifact:

ArtifactWhat it contains
TranscriptFull text with timestamps and speaker labels
SummaryKey points, decisions, and action items
KeyframesExtracted screenshots at visually significant moments
AnnotationsSemantic tags linking content to code concepts

3. Your AI coworker references it

The next time an AI coworker starts a session in this repo, the recording's content is part of its context. It can reference the walkthrough's decisions, the architecture you drew on screen, or the bug reproduction steps you narrated.

Before SageOx: "Why did we redesign the upload API?" → grep through Slack, find nothing, guess.

After SageOx: "Why did we redesign the upload API?" → your AI coworker cites the Loom walkthrough where you explained the rate-limiting issues.

Recipes

Import your Loom back catalog

Got months of Loom recordings scattered across Slack? Import them all.

terminal
# Import multiple Loom URLs
$
$
$

Each import runs independently. Queue up as many as you have.

Record with better extraction in mind

SageOx extracts more value when you record with a few habits:

  • Narrate your reasoning, not your clicks. "I'm switching to the network tab because I suspect the preflight is failing" beats silent mousing.
  • Say names out loud. "This is the RecordingService in apps/workflow" gives the transcript anchors that link to your codebase.
  • Keep it under 10 minutes. Shorter recordings produce tighter summaries. If you're going longer, the topic probably deserves two recordings.

Download-then-import workflow

If your Loom is behind SSO or you prefer local files:

  1. In Loom, click ...Download → save the MP4
  2. Import the local file:
terminal
$

Build the habit

The highest-value pattern: record a 2-minute Loom after every meaningful decision. Architecture call? Record it. Bug root-caused? Record the fix. PR feedback session? Record the walkthrough.

Within a week, your Team Context has a searchable history of why things are the way they are — not buried in Slack threads, not lost in someone's head.

What's next